Application Architect (contract)

Responsibilities

• Evaluating and testing governance and control frameworks for cutting-edge agentic AI capabilities embedded within Databricks.
• Auditing the Unity Catalog governance layover and exact configuration of Databricks AI agentic systems.
• Focusing on Unity Catalog access controls, lineage, and permissioning within Databricks architecture.
• Understanding and assessing data lifecycle governance within Databricks.
• Assessing agent-based systems such as Large Language Models (LLMs), orchestration, and workflows.
• Evaluating agent behavior, outputs, and associated risks.
• Experiencing the AI development lifecycle from training to deployment and monitoring.
• Developing or using AI risk frameworks and Risk Control Matrix (RCM).
• Performing AI control testing and validation beyond traditional Information Technology General Controls (ITGCs).

Qualifications

• Unity Catalog governance (access controls, lineage, permissioning)
• Databricks architecture (data ingestion, transformation, ML/GenAI pipelines)
• Experience with Databricks ML / GenAI capabilities and workflows
• Understanding of data lifecycle governance within Databricks
• Understanding of agent-based systems (LLMs, orchestration, workflows)
• Experience evaluating agent behavior, outputs, and risks
• Knowledge of AI development lifecycle (training, deployment, monitoring)
• Familiarity with AI governance concepts (bias, explainability, monitoring, HITL)
• Experience performing AI control testing and validation (not just ITGCs)
• Experience developing or using AI risk frameworks / RCM